Cargando…
A neural mechanism for learning from delayed postingestive feedback
Animals learn the value of foods based on their postingestive effects and thereby develop aversions to foods that are toxic(1–6) and preferences to those that are nutritious(7–14). However, it remains unclear how the brain is able to assign credit to flavors experienced during a meal with postingest...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592633/ https://www.ncbi.nlm.nih.gov/pubmed/37873112 http://dx.doi.org/10.1101/2023.10.06.561214 |
_version_ | 1785124322072854528 |
---|---|
author | Zimmerman, Christopher A. Pan-Vazquez, Alejandro Wu, Bichan Keppler, Emma F. Guthman, Eartha Mae Fetcho, Robert N. Bolkan, Scott S. McMannon, Brenna Lee, Junuk Hoag, Austin T. Lynch, Laura A. Janarthanan, Sanjeev N. López Luna, Juan F. Bondy, Adrian G. Falkner, Annegret L. Wang, Samuel S.-H. Witten, Ilana B. |
author_facet | Zimmerman, Christopher A. Pan-Vazquez, Alejandro Wu, Bichan Keppler, Emma F. Guthman, Eartha Mae Fetcho, Robert N. Bolkan, Scott S. McMannon, Brenna Lee, Junuk Hoag, Austin T. Lynch, Laura A. Janarthanan, Sanjeev N. López Luna, Juan F. Bondy, Adrian G. Falkner, Annegret L. Wang, Samuel S.-H. Witten, Ilana B. |
author_sort | Zimmerman, Christopher A. |
collection | PubMed |
description | Animals learn the value of foods based on their postingestive effects and thereby develop aversions to foods that are toxic(1–6) and preferences to those that are nutritious(7–14). However, it remains unclear how the brain is able to assign credit to flavors experienced during a meal with postingestive feedback signals that can arise after a substantial delay. Here, we reveal an unexpected role for postingestive reactivation of neural flavor representations in this temporal credit assignment process. To begin, we leverage the fact that mice learn to associate novel(15–18), but not familiar, flavors with delayed gastric malaise signals to investigate how the brain represents flavors that support aversive postingestive learning. Surveying cellular resolution brainwide activation patterns reveals that a network of amygdala regions is unique in being preferentially activated by novel flavors across every stage of the learning process: the initial meal, delayed malaise, and memory retrieval. By combining high-density recordings in the amygdala with optogenetic stimulation of genetically defined hindbrain malaise cells, we find that postingestive malaise signals potently and specifically reactivate amygdalar novel flavor representations from a recent meal. The degree of malaise-driven reactivation of individual neurons predicts strengthening of flavor responses upon memory retrieval, leading to stabilization of the population-level representation of the recently consumed flavor. In contrast, meals without postingestive consequences degrade neural flavor representations as flavors become familiar and safe. Thus, our findings demonstrate that interoceptive reactivation of amygdalar flavor representations provides a neural mechanism to resolve the temporal credit assignment problem inherent to postingestive learning. |
format | Online Article Text |
id | pubmed-10592633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105926332023-10-24 A neural mechanism for learning from delayed postingestive feedback Zimmerman, Christopher A. Pan-Vazquez, Alejandro Wu, Bichan Keppler, Emma F. Guthman, Eartha Mae Fetcho, Robert N. Bolkan, Scott S. McMannon, Brenna Lee, Junuk Hoag, Austin T. Lynch, Laura A. Janarthanan, Sanjeev N. López Luna, Juan F. Bondy, Adrian G. Falkner, Annegret L. Wang, Samuel S.-H. Witten, Ilana B. bioRxiv Article Animals learn the value of foods based on their postingestive effects and thereby develop aversions to foods that are toxic(1–6) and preferences to those that are nutritious(7–14). However, it remains unclear how the brain is able to assign credit to flavors experienced during a meal with postingestive feedback signals that can arise after a substantial delay. Here, we reveal an unexpected role for postingestive reactivation of neural flavor representations in this temporal credit assignment process. To begin, we leverage the fact that mice learn to associate novel(15–18), but not familiar, flavors with delayed gastric malaise signals to investigate how the brain represents flavors that support aversive postingestive learning. Surveying cellular resolution brainwide activation patterns reveals that a network of amygdala regions is unique in being preferentially activated by novel flavors across every stage of the learning process: the initial meal, delayed malaise, and memory retrieval. By combining high-density recordings in the amygdala with optogenetic stimulation of genetically defined hindbrain malaise cells, we find that postingestive malaise signals potently and specifically reactivate amygdalar novel flavor representations from a recent meal. The degree of malaise-driven reactivation of individual neurons predicts strengthening of flavor responses upon memory retrieval, leading to stabilization of the population-level representation of the recently consumed flavor. In contrast, meals without postingestive consequences degrade neural flavor representations as flavors become familiar and safe. Thus, our findings demonstrate that interoceptive reactivation of amygdalar flavor representations provides a neural mechanism to resolve the temporal credit assignment problem inherent to postingestive learning. Cold Spring Harbor Laboratory 2023-10-10 /pmc/articles/PMC10592633/ /pubmed/37873112 http://dx.doi.org/10.1101/2023.10.06.561214 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Zimmerman, Christopher A. Pan-Vazquez, Alejandro Wu, Bichan Keppler, Emma F. Guthman, Eartha Mae Fetcho, Robert N. Bolkan, Scott S. McMannon, Brenna Lee, Junuk Hoag, Austin T. Lynch, Laura A. Janarthanan, Sanjeev N. López Luna, Juan F. Bondy, Adrian G. Falkner, Annegret L. Wang, Samuel S.-H. Witten, Ilana B. A neural mechanism for learning from delayed postingestive feedback |
title | A neural mechanism for learning from delayed postingestive feedback |
title_full | A neural mechanism for learning from delayed postingestive feedback |
title_fullStr | A neural mechanism for learning from delayed postingestive feedback |
title_full_unstemmed | A neural mechanism for learning from delayed postingestive feedback |
title_short | A neural mechanism for learning from delayed postingestive feedback |
title_sort | neural mechanism for learning from delayed postingestive feedback |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592633/ https://www.ncbi.nlm.nih.gov/pubmed/37873112 http://dx.doi.org/10.1101/2023.10.06.561214 |
work_keys_str_mv | AT zimmermanchristophera aneuralmechanismforlearningfromdelayedpostingestivefeedback AT panvazquezalejandro aneuralmechanismforlearningfromdelayedpostingestivefeedback AT wubichan aneuralmechanismforlearningfromdelayedpostingestivefeedback AT keppleremmaf aneuralmechanismforlearningfromdelayedpostingestivefeedback AT guthmanearthamae aneuralmechanismforlearningfromdelayedpostingestivefeedback AT fetchorobertn aneuralmechanismforlearningfromdelayedpostingestivefeedback AT bolkanscotts aneuralmechanismforlearningfromdelayedpostingestivefeedback AT mcmannonbrenna aneuralmechanismforlearningfromdelayedpostingestivefeedback AT leejunuk aneuralmechanismforlearningfromdelayedpostingestivefeedback AT hoagaustint aneuralmechanismforlearningfromdelayedpostingestivefeedback AT lynchlauraa aneuralmechanismforlearningfromdelayedpostingestivefeedback AT janarthanansanjeevn aneuralmechanismforlearningfromdelayedpostingestivefeedback AT lopezlunajuanf aneuralmechanismforlearningfromdelayedpostingestivefeedback AT bondyadriang aneuralmechanismforlearningfromdelayedpostingestivefeedback AT falknerannegretl aneuralmechanismforlearningfromdelayedpostingestivefeedback AT wangsamuelsh aneuralmechanismforlearningfromdelayedpostingestivefeedback AT wittenilanab aneuralmechanismforlearningfromdelayedpostingestivefeedback AT zimmermanchristophera neuralmechanismforlearningfromdelayedpostingestivefeedback AT panvazquezalejandro neuralmechanismforlearningfromdelayedpostingestivefeedback AT wubichan neuralmechanismforlearningfromdelayedpostingestivefeedback AT keppleremmaf neuralmechanismforlearningfromdelayedpostingestivefeedback AT guthmanearthamae neuralmechanismforlearningfromdelayedpostingestivefeedback AT fetchorobertn neuralmechanismforlearningfromdelayedpostingestivefeedback AT bolkanscotts neuralmechanismforlearningfromdelayedpostingestivefeedback AT mcmannonbrenna neuralmechanismforlearningfromdelayedpostingestivefeedback AT leejunuk neuralmechanismforlearningfromdelayedpostingestivefeedback AT hoagaustint neuralmechanismforlearningfromdelayedpostingestivefeedback AT lynchlauraa neuralmechanismforlearningfromdelayedpostingestivefeedback AT janarthanansanjeevn neuralmechanismforlearningfromdelayedpostingestivefeedback AT lopezlunajuanf neuralmechanismforlearningfromdelayedpostingestivefeedback AT bondyadriang neuralmechanismforlearningfromdelayedpostingestivefeedback AT falknerannegretl neuralmechanismforlearningfromdelayedpostingestivefeedback AT wangsamuelsh neuralmechanismforlearningfromdelayedpostingestivefeedback AT wittenilanab neuralmechanismforlearningfromdelayedpostingestivefeedback |